{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-title"
    ]
   },
   "source": [
    "# k-Nearest Neighbor (kNN) exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "The kNN classifier consists of two stages:\n",
    "\n",
    "- During training, the classifier takes the training data and simply remembers it\n",
    "- During testing, kNN classifies every test image by comparing to all training images and transfering the labels of the k most similar training examples\n",
    "- The value of k is cross-validated\n",
    "\n",
    "In this exercise you will implement these steps and understand the basic Image Classification pipeline, cross-validation, and gain proficiency in writing efficient, vectorized code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "# Run some setup code for this notebook.\n",
    "\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the notebook\n",
    "# rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "#cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "cifar10_dir = 'cs231n\\\\datasets\\\\cifar-10-batches-py'\n",
    "# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\n",
    "try:\n",
    "   del X_train, y_train\n",
    "   del X_test, y_test\n",
    "   print('Clear previously loaded data.')\n",
    "except:\n",
    "   pass\n",
    "\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x576 with 70 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5000, 3072) (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Subsample the data for more efficient code execution in this exercise\n",
    "num_training = 5000\n",
    "mask = list(range(num_training))\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "num_test = 500\n",
    "mask = list(range(num_test))\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]\n",
    "\n",
    "# Reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "from cs231n.classifiers import KNearestNeighbor\n",
    "\n",
    "# Create a kNN classifier instance. \n",
    "# Remember that training a kNN classifier is a noop: \n",
    "# the Classifier simply remembers the data and does no further processing \n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We would now like to classify the test data with the kNN classifier. Recall that we can break down this process into two steps: \n",
    "\n",
    "1. First we must compute the distances between all test examples and all train examples. \n",
    "2. Given these distances, for each test example we find the k nearest examples and have them vote for the label\n",
    "\n",
    "Lets begin with computing the distance matrix between all training and test examples. For example, if there are **Ntr** training examples and **Nte** test examples, this stage should result in a **Nte x Ntr** matrix where each element (i,j) is the distance between the i-th test and j-th train example.\n",
    "\n",
    "**Note: For the three distance computations that we require you to implement in this notebook, you may not use the np.linalg.norm() function that numpy provides.**\n",
    "\n",
    "First, open `cs231n/classifiers/k_nearest_neighbor.py` and implement the function `compute_distances_two_loops` that uses a (very inefficient) double loop over all pairs of (test, train) examples and computes the distance matrix one element at a time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(500, 5000)\n"
     ]
    }
   ],
   "source": [
    "# Open cs231n/classifiers/k_nearest_neighbor.py and implement\n",
    "# compute_distances_two_loops.\n",
    "\n",
    "# Test your implementation:\n",
    "dists = classifier.compute_distances_two_loops(X_test)\n",
    "print(dists.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can visualize the distance matrix: each row is a single test example and\n",
    "# its distances to training examples\n",
    "plt.imshow(dists, interpolation='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 1** \n",
    "\n",
    "Notice the structured patterns in the distance matrix, where some rows or columns are visible brighter. (Note that with the default color scheme black indicates low distances while white indicates high distances.)\n",
    "\n",
    "- What in the data is the cause behind the distinctly bright rows?\n",
    "- What causes the columns?\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ *fill this in.*\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 137 / 500 correct => accuracy: 0.274000\n"
     ]
    }
   ],
   "source": [
    "# Now implement the function predict_labels and run the code below:\n",
    "# We use k = 1 (which is Nearest Neighbor).\n",
    "y_test_pred = classifier.predict_labels(dists, k=1)\n",
    "\n",
    "# Compute and print the fraction of correctly predicted examples\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see approximately `27%` accuracy. Now lets try out a larger `k`, say `k = 5`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 139 / 500 correct => accuracy: 0.278000\n"
     ]
    }
   ],
   "source": [
    "y_test_pred = classifier.predict_labels(dists, k=5)\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see a slightly better performance than with `k = 1`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 2**\n",
    "\n",
    "We can also use other distance metrics such as L1 distance.\n",
    "For pixel values $p_{ij}^{(k)}$ at location $(i,j)$ of some image $I_k$, \n",
    "\n",
    "the mean $\\mu$ across all pixels over all images is $$\\mu=\\frac{1}{nhw}\\sum_{k=1}^n\\sum_{i=1}^{h}\\sum_{j=1}^{w}p_{ij}^{(k)}$$\n",
    "And the pixel-wise mean $\\mu_{ij}$ across all images is \n",
    "$$\\mu_{ij}=\\frac{1}{n}\\sum_{k=1}^np_{ij}^{(k)}.$$\n",
    "The general standard deviation $\\sigma$ and pixel-wise standard deviation $\\sigma_{ij}$ is defined similarly.\n",
    "\n",
    "Which of the following preprocessing steps will not change the performance of a Nearest Neighbor classifier that uses L1 distance? Select all that apply.\n",
    "1. Subtracting the mean $\\mu$ ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu$.)\n",
    "2. Subtracting the per pixel mean $\\mu_{ij}$  ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu_{ij}$.)\n",
    "3. Subtracting the mean $\\mu$ and dividing by the standard deviation $\\sigma$.\n",
    "4. Subtracting the pixel-wise mean $\\mu_{ij}$ and dividing by the pixel-wise standard deviation $\\sigma_{ij}$.\n",
    "5. Rotating the coordinate axes of the data.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$\n",
    "\n",
    "\n",
    "$\\color{blue}{\\textit Your Explanation:}$\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "One loop difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now lets speed up distance matrix computation by using partial vectorization\n",
    "# with one loop. Implement the function compute_distances_one_loop and run the\n",
    "# code below:\n",
    "dists_one = classifier.compute_distances_one_loop(X_test)\n",
    "\n",
    "# To ensure that our vectorized implementation is correct, we make sure that it\n",
    "# agrees with the naive implementation. There are many ways to decide whether\n",
    "# two matrices are similar; one of the simplest is the Frobenius norm. In case\n",
    "# you haven't seen it before, the Frobenius norm of two matrices is the square\n",
    "# root of the squared sum of differences of all elements; in other words, reshape\n",
    "# the matrices into vectors and compute the Euclidean distance between them.\n",
    "difference = np.linalg.norm(dists - dists_one, ord='fro')\n",
    "print('One loop difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true,
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No loop difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now implement the fully vectorized version inside compute_distances_no_loops\n",
    "# and run the code\n",
    "dists_two = classifier.compute_distances_no_loops(X_test)\n",
    "\n",
    "# check that the distance matrix agrees with the one we computed before:\n",
    "difference = np.linalg.norm(dists - dists_two, ord='fro')\n",
    "print('No loop difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "id": "no_loop",
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Two loop version took 29.989724 seconds\n",
      "One loop version took 111.860415 seconds\n",
      "No loop version took 0.563198 seconds\n"
     ]
    }
   ],
   "source": [
    "# Let's compare how fast the implementations are\n",
    "def time_function(f, *args):\n",
    "    \"\"\"\n",
    "    Call a function f with args and return the time (in seconds) that it took to execute.\n",
    "    \"\"\"\n",
    "    import time\n",
    "    tic = time.time()\n",
    "    f(*args)\n",
    "    toc = time.time()\n",
    "    return toc - tic\n",
    "\n",
    "two_loop_time = time_function(classifier.compute_distances_two_loops, X_test)\n",
    "print('Two loop version took %f seconds' % two_loop_time)\n",
    "\n",
    "one_loop_time = time_function(classifier.compute_distances_one_loop, X_test)\n",
    "print('One loop version took %f seconds' % one_loop_time)\n",
    "\n",
    "no_loop_time = time_function(classifier.compute_distances_no_loops, X_test)\n",
    "print('No loop version took %f seconds' % no_loop_time)\n",
    "\n",
    "# You should see significantly faster performance with the fully vectorized implementation!\n",
    "\n",
    "# NOTE: depending on what machine you're using, \n",
    "# you might not see a speedup when you go from two loops to one loop, \n",
    "# and might even see a slow-down."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cross-validation\n",
    "\n",
    "We have implemented the k-Nearest Neighbor classifier but we set the value k = 5 arbitrarily. We will now determine the best value of this hyperparameter with cross-validation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "tags": [
     "code"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k = 1, accuracy = 0.263000\n",
      "k = 1, accuracy = 0.257000\n",
      "k = 1, accuracy = 0.264000\n",
      "k = 1, accuracy = 0.278000\n",
      "k = 1, accuracy = 0.266000\n",
      "k = 3, accuracy = 0.239000\n",
      "k = 3, accuracy = 0.249000\n",
      "k = 3, accuracy = 0.240000\n",
      "k = 3, accuracy = 0.266000\n",
      "k = 3, accuracy = 0.254000\n",
      "k = 5, accuracy = 0.248000\n",
      "k = 5, accuracy = 0.266000\n",
      "k = 5, accuracy = 0.280000\n",
      "k = 5, accuracy = 0.292000\n",
      "k = 5, accuracy = 0.280000\n",
      "k = 8, accuracy = 0.262000\n",
      "k = 8, accuracy = 0.282000\n",
      "k = 8, accuracy = 0.273000\n",
      "k = 8, accuracy = 0.290000\n",
      "k = 8, accuracy = 0.273000\n",
      "k = 10, accuracy = 0.265000\n",
      "k = 10, accuracy = 0.296000\n",
      "k = 10, accuracy = 0.276000\n",
      "k = 10, accuracy = 0.284000\n",
      "k = 10, accuracy = 0.280000\n",
      "k = 12, accuracy = 0.260000\n",
      "k = 12, accuracy = 0.295000\n",
      "k = 12, accuracy = 0.279000\n",
      "k = 12, accuracy = 0.283000\n",
      "k = 12, accuracy = 0.280000\n",
      "k = 15, accuracy = 0.252000\n",
      "k = 15, accuracy = 0.289000\n",
      "k = 15, accuracy = 0.278000\n",
      "k = 15, accuracy = 0.282000\n",
      "k = 15, accuracy = 0.274000\n",
      "k = 20, accuracy = 0.270000\n",
      "k = 20, accuracy = 0.279000\n",
      "k = 20, accuracy = 0.279000\n",
      "k = 20, accuracy = 0.282000\n",
      "k = 20, accuracy = 0.285000\n",
      "k = 50, accuracy = 0.271000\n",
      "k = 50, accuracy = 0.288000\n",
      "k = 50, accuracy = 0.278000\n",
      "k = 50, accuracy = 0.269000\n",
      "k = 50, accuracy = 0.266000\n",
      "k = 100, accuracy = 0.256000\n",
      "k = 100, accuracy = 0.270000\n",
      "k = 100, accuracy = 0.263000\n",
      "k = 100, accuracy = 0.256000\n",
      "k = 100, accuracy = 0.263000\n"
     ]
    }
   ],
   "source": [
    "num_folds = 5\n",
    "k_choices = [1, 3, 5, 8, 10, 12, 15, 20, 50, 100]\n",
    "\n",
    "X_train_folds = []\n",
    "y_train_folds = []\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Split up the training data into folds. After splitting, X_train_folds and    #\n",
    "# y_train_folds should each be lists of length num_folds, where                #\n",
    "# y_train_folds[i] is the label vector for the points in X_train_folds[i].     #\n",
    "# Hint: Look up the numpy array_split function.                                #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "pass\n",
    "avg_size=int(X_train.shape[0]/num_folds)\n",
    "for i in range(num_folds):\n",
    "    X_train_folds.append(X_train[i*avg_size:(i+1)*avg_size])\n",
    "    y_train_folds.append(y_train[i*avg_size:(i+1)*avg_size])\n",
    "    \n",
    "\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# A dictionary holding the accuracies for different values of k that we find\n",
    "# when running cross-validation. After running cross-validation,\n",
    "# k_to_accuracies[k] should be a list of length num_folds giving the different\n",
    "# accuracy values that we found when using that value of k.\n",
    "k_to_accuracies = {}\n",
    "\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Perform k-fold cross validation to find the best value of k. For each        #\n",
    "# possible value of k, run the k-nearest-neighbor algorithm num_folds times,   #\n",
    "# where in each case you use all but one of the folds as training data and the #\n",
    "# last fold as a validation set. Store the accuracies for all fold and all     #\n",
    "# values of k in the k_to_accuracies dictionary.                               #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "pass\n",
    "for k in k_choices:\n",
    "    k_accuracies=[]\n",
    "    for i in range(num_folds):\n",
    "        X_train_cv=np.vstack(X_train_folds[0:i]+X_train_folds[i+1:])\n",
    "        #print(y_train_folds.shape)\n",
    "        y_train_cv=np.hstack(y_train_folds[0:i]+y_train_folds[i+1:])\n",
    "        X_valid_cv=X_train_folds[i]\n",
    "        y_valid_cv=y_train_folds[i]\n",
    "        \n",
    "        classifier.train(X_train_cv,y_train_cv)\n",
    "        dists = classifier.compute_distances_no_loops(X_valid_cv)\n",
    "        y_test_pred = classifier.predict_labels(dists, k=k)\n",
    "        num_correct = np.sum(y_test_pred == y_valid_cv)\n",
    "        accuracy = float(num_correct) / y_valid_cv.shape[0]\n",
    "        k_accuracies.append(accuracy)\n",
    "    k_to_accuracies[k]=k_accuracies\n",
    "    \n",
    "    \n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# Print out the computed accuracies\n",
    "for k in sorted(k_to_accuracies):\n",
    "    for accuracy in k_to_accuracies[k]:\n",
    "        print('k = %d, accuracy = %f' % (k, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the raw observations\n",
    "for k in k_choices:\n",
    "    accuracies = k_to_accuracies[k]\n",
    "    plt.scatter([k] * len(accuracies), accuracies)\n",
    "\n",
    "# plot the trend line with error bars that correspond to standard deviation\n",
    "accuracies_mean = np.array([np.mean(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "accuracies_std = np.array([np.std(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "plt.errorbar(k_choices, accuracies_mean, yerr=accuracies_std)\n",
    "plt.title('Cross-validation on k')\n",
    "plt.xlabel('k')\n",
    "plt.ylabel('Cross-validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "id": "cross_validation"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 141 / 500 correct => accuracy: 0.282000\n"
     ]
    }
   ],
   "source": [
    "# Based on the cross-validation results above, choose the best value for k,   \n",
    "# retrain the classifier using all the training data, and test it on the test\n",
    "# data. You should be able to get above 28% accuracy on the test data.\n",
    "best_k = 10\n",
    "\n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)\n",
    "y_test_pred = classifier.predict(X_test, k=best_k)\n",
    "\n",
    "# Compute and display the accuracy\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 3**\n",
    "\n",
    "Which of the following statements about $k$-Nearest Neighbor ($k$-NN) are true in a classification setting, and for all $k$? Select all that apply.\n",
    "1. The decision boundary of the k-NN classifier is linear.\n",
    "2. The training error of a 1-NN will always be lower than that of 5-NN.\n",
    "3. The test error of a 1-NN will always be lower than that of a 5-NN.\n",
    "4. The time needed to classify a test example with the k-NN classifier grows with the size of the training set.\n",
    "5. None of the above.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$\n",
    "\n",
    "\n",
    "$\\color{blue}{\\textit Your Explanation:}$\n",
    "\n"
   ]
  }
 ],
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    "name": "ipython",
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